公开(公告)号：US20200096982A1

公开(公告)日：2020-03-26

申请号：US16621301

申请日：2018-06-08

Applicant: SABIC Global Technologies B.V.

Inventor： Akash MITTAL ,  Abduljelil ILIYAS

IPC: G05B19/418 ,  C10G9/36 ,  C07C4/04 ,  G05B13/02

Abstract: The present disclosure describes systems, methods, and computer readable media that provide a hybrid approach that uses machine learning techniques and phenomenological reactor models for optimization of steam cracker units. While the phenomenological model allows capturing the physics of a steam cracker using molecular kinetics, the machine learning methods fill the gap between the phenomenological models and more detailed radical kinetics based steam cracker models. Also, machine learning based models can capture actual plant information and provide insight into the variation between the models and plant running conditions. The proposed methodology shows better interpolation and extrapolation capabilities as compared to stand-alone machine learning methods. Also, compared to detailed radical kinetics based models, the approach utilized in embodiments requires much less computational time in order to carry out whole plant-wide optimization or can be used for planning/scheduling purposes.

公开(公告)号：US20170101586A1

公开(公告)日：2017-04-13

申请号：US15314133

申请日：2015-05-28

Applicant: SABIC GLOBAL TECHNOLOGIES B.V.

Inventor： Abduljelil ILIYAS ,  Munawar SAUDAGAR ,  Hatem BELFADHEL

IPC: C10G9/16 ,  C10G75/00 ,  C10G9/20

CPC classification number: C10G9/16 ,  C10G9/206 ,  C10G9/36 ,  C10G75/00 ,  C10G2300/4075 ,  F27B19/04

Abstract: Methods and systems for managing a decomposition process are disclosed. An example method can comprise estimating a coking rate for a process based on a coking model. The coking model can comprise a pyrolytic coking term and a catalytic coking term. An example method can comprise, performing at least a portion of the process, receiving a parameter for the process, and adjusting an operation of the process based on the parameter.